
“Every business deserves an assistant that understands it from A to Z. We believe AI should do more than just predict. It should guide, automate, and empower, standing by your side to build the future you want.”
HARRY
Founder-to-be
Deep strategy mode’s still ON
Vertical AI vs. Horizontal AI: Why does it matter?
Vertical AI goes beyond generic or horizontal AI by designing AI agents that deeply understand the context of a specific industry, like retail, finance, or real estate – instead of trying to fit every use case. Horizontal AI, or general-purpose models, can generate broad insights, but they often fail to automate real-world tasks that need domain knowledge, workflows, and compliance rules. Vertical AI agents combine large language models with specialized data and processes, transforming raw data into actions that businesses can trust. This means companies get practical, high-impact solutions tailored to their world – not just one-size-fits-all AI that looks good in demos but struggles in the field.
What business problems can we solve better?
Generic AI can surface insights but often stops short of delivering trusted, real-world results. Our Vertical AI agents go deeper: they learn the hidden workflows, constraints, and context that generic models miss. This allows businesses to automate complex decisions, unlock siloed data, and embed AI directly into daily operations – not just dashboards. The result: lower costs, better margins, and a competitive edge that’s hard to copy. Companies that ignore this risk wasted data, lost opportunities, and falling behind.
Why is now the right time?
The timing is perfect: breakthroughs in LLMs, open-source models, and cloud AI infrastructure have made powerful tools more accessible than ever. But companies want more than generic AI – they need agents that truly understand their industry. Meanwhile, massive domain data remains underused as businesses face rising pressure to automate, cut costs, and stay ahead. Vertical AI taps into this reality, combining mature AI tech with industry-specific expertise to deliver real ROI – not just experiments. What used to be research-only is now production-ready. Companies that fail to adapt will lose out to competitors who embed domain-focused AI into everyday operations.
How big is the market opportunity?
Vertical AI is becoming one of the largest and fastest-growing segments within enterprise AI. Leading reports like McKinsey and Gartner estimate that AI could create up to $4–5 trillion in annual value by 2030 – with industry-specific solutions driving a big share of that growth. IDC also predicts that over 50% of enterprise AI investments will shift toward vertical AI use cases in the next few years.
What keeps us ahead when big players enter?
Our moat comes from domain-specific data, deep trust, and solutions designed for each industry’s real needs. Big tech builds powerful general models, but they lack the contextual data and relationships that make ROI real. We partner closely with clients to embed AI into workflows, creating high switching costs and defensible value. Each deployment grows our domain data flywheel, making our AI agents more accurate over time. Big platforms stay broad – we stay close to the problem.
Where next in 3 years?
Over the next 3 years, our goal is to build a trusted Vertical AI platform with proven use cases across retail, finance, and real estate. We plan to launch scalable AI agents that deliver real ROI, form strategic partnerships with industry leaders, and keep expanding our pipeline of domain-specific data. Along the way, we’ll strengthen our core team with top AI talent to tackle new verticals and solve harder real-world problems. For us, success means real results that our clients can measure – and solutions that stay ahead as industries evolve.
We are excited to contribute to the national strategy for innovation with AI as one of its key pillars, in this era of Vietnam’s rise. We are proudly a Vietnamese company, built by Vietnamese people, for Vietnamese businesses.

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